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  <title>统计图表-WeAdmin Frame型后台管理系统-WeAdmin 1.0</title>
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  <div class="weadmin-body">
    <blockquote class="layui-elem-quote">
      特别声明：ECharts，一个纯 Javascript 的图表库，可以流畅的运行在 PC 和移动设备上，兼容当前绝大部分浏览器（IE8/9/10/11，Chrome，Firefox，Safari等），底层依赖轻量级的
      Canvas 类库 ZRender，提供直观，生动，可交互，可高度个性化定制的数据可视化图表。WeAdmin提示：如需使用或者详细更多案例可以访问官网 <a href="http://echarts.baidu.com/"
        style="color:red">ECharts</a>。
    </blockquote>
    <!-- 为 ECharts 准备一个具备大小（宽高）的 DOM -->
    <div id="main" style="width: 100%;height:400px;"></div>
    <blockquote class="layui-elem-quote">
      注意：本案例的Echarts图表库由cdn引入，需要在线才能正常使用，若要离线使用，请至Echarts官网下载。
    </blockquote>
  </div>
  <script src="//cdn.bootcss.com/echarts/4.0.2/echarts.min.js"></script>
  <script src="//cdn.bootcss.com/echarts/4.0.2/extension/bmap.min.js"></script>
  <!-- <script src="http://echarts.baidu.com/asset/map/js/china.js"></script> -->
  <!-- <script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/map/js/china.js"></script> -->
  <script src="https://echarts.apache.org/examples/vendors/echarts/map/js/china.js"></script>

  <script type="text/javascript">
    // 基于准备好的dom，初始化echarts实例
    var myChart = echarts.init(document.getElementById('main'));
    myChart.setOption({
      series: [{
        type: 'map',
        map: 'china'
      }]
    });

    // 指定图表的配置项和数据
    var geoCoordMap = {
      '上海': [121.4648, 31.2891],
      '东莞': [113.8953, 22.901],
      '东营': [118.7073, 37.5513],
      '中山': [113.4229, 22.478],
      '临汾': [111.4783, 36.1615],
      '临沂': [118.3118, 35.2936],
      '丹东': [124.541, 40.4242],
      '丽水': [119.5642, 28.1854],
      '乌鲁木齐': [87.9236, 43.5883],
      '佛山': [112.8955, 23.1097],
      '保定': [115.0488, 39.0948],
      '兰州': [103.5901, 36.3043],
      '包头': [110.3467, 41.4899],
      '北京': [116.4551, 40.2539],
      '北海': [109.314, 21.6211],
      '南京': [118.8062, 31.9208],
      '南宁': [108.479, 23.1152],
      '南昌': [116.0046, 28.6633],
      '南通': [121.1023, 32.1625],
      '厦门': [118.1689, 24.6478],
      '台州': [121.1353, 28.6688],
      '合肥': [117.29, 32.0581],
      '呼和浩特': [111.4124, 40.4901],
      '咸阳': [108.4131, 34.8706],
      '哈尔滨': [127.9688, 45.368],
      '唐山': [118.4766, 39.6826],
      '嘉兴': [120.9155, 30.6354],
      '大同': [113.7854, 39.8035],
      '大连': [122.2229, 39.4409],
      '天津': [117.4219, 39.4189],
      '太原': [112.3352, 37.9413],
      '威海': [121.9482, 37.1393],
      '宁波': [121.5967, 29.6466],
      '宝鸡': [107.1826, 34.3433],
      '宿迁': [118.5535, 33.7775],
      '常州': [119.4543, 31.5582],
      '广州': [113.5107, 23.2196],
      '廊坊': [116.521, 39.0509],
      '延安': [109.1052, 36.4252],
      '张家口': [115.1477, 40.8527],
      '徐州': [117.5208, 34.3268],
      '德州': [116.6858, 37.2107],
      '惠州': [114.6204, 23.1647],
      '成都': [103.9526, 30.7617],
      '扬州': [119.4653, 32.8162],
      '承德': [117.5757, 41.4075],
      '拉萨': [91.1865, 30.1465],
      '无锡': [120.3442, 31.5527],
      '日照': [119.2786, 35.5023],
      '昆明': [102.9199, 25.4663],
      '杭州': [119.5313, 29.8773],
      '枣庄': [117.323, 34.8926],
      '柳州': [109.3799, 24.9774],
      '株洲': [113.5327, 27.0319],
      '武汉': [114.3896, 30.6628],
      '汕头': [117.1692, 23.3405],
      '江门': [112.6318, 22.1484],
      '沈阳': [123.1238, 42.1216],
      '沧州': [116.8286, 38.2104],
      '河源': [114.917, 23.9722],
      '泉州': [118.3228, 25.1147],
      '泰安': [117.0264, 36.0516],
      '泰州': [120.0586, 32.5525],
      '济南': [117.1582, 36.8701],
      '济宁': [116.8286, 35.3375],
      '海口': [110.3893, 19.8516],
      '淄博': [118.0371, 36.6064],
      '淮安': [118.927, 33.4039],
      '深圳': [114.5435, 22.5439],
      '清远': [112.9175, 24.3292],
      '温州': [120.498, 27.8119],
      '渭南': [109.7864, 35.0299],
      '湖州': [119.8608, 30.7782],
      '湘潭': [112.5439, 27.7075],
      '滨州': [117.8174, 37.4963],
      '潍坊': [119.0918, 36.524],
      '烟台': [120.7397, 37.5128],
      '玉溪': [101.9312, 23.8898],
      '珠海': [113.7305, 22.1155],
      '盐城': [120.2234, 33.5577],
      '盘锦': [121.9482, 41.0449],
      '石家庄': [114.4995, 38.1006],
      '福州': [119.4543, 25.9222],
      '秦皇岛': [119.2126, 40.0232],
      '绍兴': [120.564, 29.7565],
      '聊城': [115.9167, 36.4032],
      '肇庆': [112.1265, 23.5822],
      '舟山': [122.2559, 30.2234],
      '苏州': [120.6519, 31.3989],
      '莱芜': [117.6526, 36.2714],
      '菏泽': [115.6201, 35.2057],
      '营口': [122.4316, 40.4297],
      '葫芦岛': [120.1575, 40.578],
      '衡水': [115.8838, 37.7161],
      '衢州': [118.6853, 28.8666],
      '西宁': [101.4038, 36.8207],
      '西安': [109.1162, 34.2004],
      '贵阳': [106.6992, 26.7682],
      '连云港': [119.1248, 34.552],
      '邢台': [114.8071, 37.2821],
      '邯郸': [114.4775, 36.535],
      '郑州': [113.4668, 34.6234],
      '鄂尔多斯': [108.9734, 39.2487],
      '重庆': [107.7539, 30.1904],
      '金华': [120.0037, 29.1028],
      '铜川': [109.0393, 35.1947],
      '银川': [106.3586, 38.1775],
      '镇江': [119.4763, 31.9702],
      '长春': [125.8154, 44.2584],
      '长沙': [113.0823, 28.2568],
      '长治': [112.8625, 36.4746],
      '阳泉': [113.4778, 38.0951],
      '青岛': [120.4651, 36.3373],
      '韶关': [113.7964, 24.7028]
    };

    var BJData = [
      [{ name: '北京' }, { name: '上海', value: 95 }],
      [{ name: '北京' }, { name: '广州', value: 90 }],
      [{ name: '北京' }, { name: '大连', value: 80 }],
      [{ name: '北京' }, { name: '南宁', value: 70 }],
      [{ name: '北京' }, { name: '南昌', value: 60 }],
      [{ name: '北京' }, { name: '拉萨', value: 50 }],
      [{ name: '北京' }, { name: '长春', value: 40 }],
      [{ name: '北京' }, { name: '包头', value: 30 }],
      [{ name: '北京' }, { name: '重庆', value: 20 }],
      [{ name: '北京' }, { name: '常州', value: 10 }]
    ];

    var SHData = [
      [{ name: '上海' }, { name: '包头', value: 95 }],
      [{ name: '上海' }, { name: '昆明', value: 90 }],
      [{ name: '上海' }, { name: '广州', value: 80 }],
      [{ name: '上海' }, { name: '郑州', value: 70 }],
      [{ name: '上海' }, { name: '长春', value: 60 }],
      [{ name: '上海' }, { name: '重庆', value: 50 }],
      [{ name: '上海' }, { name: '长沙', value: 40 }],
      [{ name: '上海' }, { name: '北京', value: 30 }],
      [{ name: '上海' }, { name: '丹东', value: 20 }],
      [{ name: '上海' }, { name: '大连', value: 10 }]
    ];

    var GZData = [
      [{ name: '广州' }, { name: '福州', value: 95 }],
      [{ name: '广州' }, { name: '太原', value: 90 }],
      [{ name: '广州' }, { name: '长春', value: 80 }],
      [{ name: '广州' }, { name: '重庆', value: 70 }],
      [{ name: '广州' }, { name: '西安', value: 60 }],
      [{ name: '广州' }, { name: '成都', value: 50 }],
      [{ name: '广州' }, { name: '常州', value: 40 }],
      [{ name: '广州' }, { name: '北京', value: 30 }],
      [{ name: '广州' }, { name: '北海', value: 20 }],
      [{ name: '广州' }, { name: '海口', value: 10 }]
    ];

    var planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z';

    var convertData = function (data) {
      var res = [];
      for (var i = 0; i < data.length; i++) {
        var dataItem = data[i];
        var fromCoord = geoCoordMap[dataItem[0].name];
        var toCoord = geoCoordMap[dataItem[1].name];
        if (fromCoord && toCoord) {
          res.push({
            fromName: dataItem[0].name,
            toName: dataItem[1].name,
            coords: [fromCoord, toCoord]
          });
        }
      }
      return res;
    };

    var color = ['#a6c84c', '#ffa022', '#46bee9'];
    var series = [];
    [['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {
      series.push({
        name: item[0] + ' Top10',
        type: 'lines',
        zlevel: 1,
        effect: {
          show: true,
          period: 6,
          trailLength: 0.7,
          color: '#fff',
          symbolSize: 3
        },
        lineStyle: {
          normal: {
            color: color[i],
            width: 0,
            curveness: 0.2
          }
        },
        data: convertData(item[1])
      },
        {
          name: item[0] + ' Top10',
          type: 'lines',
          zlevel: 2,
          effect: {
            show: true,
            period: 6,
            trailLength: 0,
            symbol: planePath,
            symbolSize: 15
          },
          lineStyle: {
            normal: {
              color: color[i],
              width: 1,
              opacity: 0.4,
              curveness: 0.2
            }
          },
          data: convertData(item[1])
        },
        {
          name: item[0] + ' Top10',
          type: 'effectScatter',
          coordinateSystem: 'geo',
          zlevel: 2,
          rippleEffect: {
            brushType: 'stroke'
          },
          label: {
            normal: {
              show: true,
              position: 'right',
              formatter: '{b}'
            }
          },
          symbolSize: function (val) {
            return val[2] / 8;
          },
          itemStyle: {
            normal: {
              color: color[i]
            }
          },
          data: item[1].map(function (dataItem) {
            return {
              name: dataItem[1].name,
              value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
            };
          })
        });
    });

    option = {
      backgroundColor: '#404a59',
      title: {
        text: '模拟迁徙',
        subtext: '数据纯属虚构',
        left: 'center',
        textStyle: {
          color: '#fff'
        }
      },
      tooltip: {
        trigger: 'item'
      },
      legend: {
        orient: 'vertical',
        top: 'bottom',
        left: 'right',
        data: ['北京 Top10', '上海 Top10', '广州 Top10'],
        textStyle: {
          color: '#fff'
        },
        selectedMode: 'single'
      },
      geo: {
        map: 'china',
        label: {
          emphasis: {
            show: false
          }
        },
        roam: true,
        itemStyle: {
          normal: {
            areaColor: '#323c48',
            borderColor: '#404a59'
          },
          emphasis: {
            areaColor: '#2a333d'
          }
        }
      },
      series: series
    };
    myChart.setOption(option);
  </script>
</body>

</html>